Submerged, self-sustained waterborne data center facility

ABSTRACT

A self-sustained, submerged waterborne data center facility that utilizes a closed-looped heat management system that is both energy-efficient and cost-effective is disclosed. Embodiments employ a closed-looped, energy efficient, cost effective thermal management system that leverages natural resources to control thermal conditions and reduce the overall requirement for cooling power.

CROSS-REFERENCE TO RELATED APPLICATION

This application claims the benefits of U.S. Non-Provisional patentapplication Ser. No. 15/432,735, filed on Feb. 14, 2017, and the subjectmatter thereof is incorporated herein by reference in its entirety.

BACKGROUND OF THE INVENTION Field

The present invention relates to an integrated feedback-driven controlsystem and method, especially with respect to augmenting light spectrabased on a detected deficiency of light spectra within a plant growthfacility due to refraction by structural materials or air particulates.

Related Art

Our current systems of production and consumption of horticulturalproducts are unsustainable and are causing rapid resource depletion,pollution, degradation of ecosystems and the threat of climate change.Industrial development and innovation are the touchstone to deliveringsustainable food, energy and water. To this end, plant growth facilitieshave been known in the market and art to help reduce the burdens causedby our production and consumption trends. Plant growth facilities arefacilities used to house plant growth chambers and, or plant growthrooms, and any associated components. The plant growth room and, orchambers are equipped with computerized environmental controls thatcontrol temperature, lighting, and humidity. These plant growth roomsprovide a large growing area with programmable day length andtemperature control, wherein controls and sensing elements interfacewith a microcomputer. Essentially, they are designed to maintain anambient condition suitable for maximizing botanical yield, whileminimizing carbon footprint. Normally, in order to sustain these optimalgrow conditions, a plant growth room will have segregatedfeedback-driven controls—essentially controlling three major parameters:lighting, temperature, and irrigation. However, they lack a system orplatform for integrating an array of sensors/controls in an automatedcontrol pipeline.

In addition to the lack of an expansive control regime, the extantsystems for plant growth management have very limited lighting controls.Traditionally, these facilities employ high intensity discharge (HID)lamps to provide higher light intensity at plant canopy. Differing typesof HID lamps provide for different spectrum of lights and thus acombination of the types are used to emphasize different growth phase ofplants. Metal Halide produces more blue and used in the vegetativephase, whereas High Pressure Sodium produces more orange/red used forthe flowering phase, for instance. These HID lamps may be additionallyaffixed to height-adjustable light frames. This arrangement does notcompensate for changes in light intensity due to plant development orchanges in light intensity due to environmental reasons. While newerplant growth facilities have begun to introduce light emitting diode(LED) lights—with multi-channel spectral modulation—they lackintegration with an end-to-end control chain. These spectral controlplatforms do manage efficiencies by providing options to custom-scheduleand tune spectra over the cloud. However, all of these lightingarrangements and schedules are considerably constrained, for they do notdeliver a sensor feedback-driven spectral ratio, nor a dynamicadjustment of light intensity or light beam pattern. Effectively, theprior art and extant market have not enabled a way to create the “sun”with its almost infinite variation of spectrum and a series of “days”during the illumination cycle in a standardized or customized manner.

In terms of down-stream provisioning, the extant spectral controlplatforms do not allow users to create and customize specific growrecipes for light, irrigation, fertilization and, or environmentalsystems to optimize the holistic grow cycle of botanical species, andmethods to transfer such recipes to other users of same type ofapplication platform. Moreover, none of the extant systems take intoaccount facility systems input, such as facility-incoming natural light,facility-generated light, and, or light spectra depletion due to airparticulates within the facility, facility structural barriers, facilityglass/object refraction, etc. As a result, current systems of plantgrowth automation are not delivering optimal spectral modulation,adaptively compensating for the inevitable leaching of facility-incomingor generated light spectra.

Embodiments disclosed address precisely such a need.

SUMMARY

Disclosed is an automated system and method to control at least one of aspectral, beam pattern and, or light intensity outputs of light sourcesby autonomously following a set of user-created recipe, with ability toincorporate one or more sensors to automatically adjust spectral, beampattern and, or light intensity levels.

A system of one or more sensors and plant growth controls can beconfigured to perform particular operations or actions by virtue ofhaving software, firmware, hardware, or a combination of them installedon an integrated platform that in operation causes or cause the platformto perform the actions. One or more computer programs can be configuredto perform particular operations or actions by virtue of includinginstructions that, when executed by data processing apparatus, cause theapparatus to perform the actions.

One general aspect includes a plant growth management system, comprisinga control system and a facilities resource management system, isconfigured to: over a network, receive at least one of a botanicalcharacteristic data and, or facility systems data; based on the receivedbotanical characteristic data and, or the facilities systems data,control an action via any one of, or combination of the control systemand, or the facilities resource management system; and wherein theactions controlled by any one of, or combination of, the control systemand, or the facilities resource management system is any one of, orcombination of, a spectral control of at least one light-emitting diode(LED) channel from at least one LED light source; light brightness; and,or a light-beam path, wherein the light-beam path is caused by a lightbeam angle differential in any direction from a y-axis perpendicular tothe LED light source, and modulation of which create a virtual heightadjustment between any one of the light sources and a top of a foliageto maximize the photosynthesis efficacy of the light on the plantgrowth.

It is another object of the invention to provide for a plant growthmanagement platform that additionally controls for height adjustment oflight source to canopy, along with providing for irrigation andfertilization controls. In some embodiments, a pulley control mechanismmay be tensionally coupled to a light source in order to achieve a “realadjustment” of height, which may be in conjunction with the “virtualadjustment” of height achieved by light beam pattern modulation. Inother embodiments, a fertilizing and, or a watering unit (irrigation)may be in fluid communication to a foliage container unit, via a fluidsupply line, and operably responsive to a sensor or an array of sensorfeedback. The array of sensors may be configured to detect raw inputrelated to any one of a foliage proximity, foliage moisture, foliagecolor, soil chemical, foliage growth stage, and, or growth time. Thisarray of disparate sensors may employ a sensor manager or integrationlayer to integrate the raw input—regardless of sensor type orheterogeneous data formats.

It is yet another object of the invention for each action controlled byany one of the control system and, or facility resource managementsystem to be supported by at least one custom application developed byat least one third party through an API gateway. An application platformto allow users to create and customize specific grow recipes for light,irrigation, fertilization and, or environmental systems to optimize theholistic grow cycle of botanical species, and to transfer such recipesto other users of same type of application platform. Furthermore, an “IfThis, Then That” script manager may be embedded to create a seamlesscontrol automation platform, wherein one pre-set command—oncethreshold-grade fulfilled—triggers a second action or set of actions.

In another generalized aspect of the invention, a plant growthmanagement device is provided, whereby said device may comprise aprocessor; a memory element coupled to the processor; encodedinstructions; wherein the device is further configured to: over anetwork, receive at least one of a botanical characteristic data and, orfacility systems data; based on the received botanical characteristicdata and, or the facilities systems data control an action; wherein theaction controlled relate to varying spectral output of at least onelight emitting diode (LED) channel from at least one LED light source,light brightness; and, or a light beam path from at least one LED lightsource and a top of a foliage for causing a virtual foliage heightadjustment.

In yet another generalized aspect of the invention, a plant growthmanagement method is disclosed, said method comprising the steps of:receiving at least one of a botanical characteristic data and, orfacility systems data over a network; and controlling an action via anyone of, or combination of the control system and, or the facilitiesresource management system based on the received botanicalcharacteristic data and, or the facilities systems data, wherein theactions controlled are any one of varying spectral and brightness outputof at least one light-emitting diode (LED) channel from at least one LEDlight source, light brightness, and, or a light-beam path for causing avirtual foliage height adjustment.

It is yet another object to claim and disclose a system, device, andmethod for incorporating spectral deficiency-driven controls in anend-to-end plant growth automation. An exemplary system may comprise afacilities resource management system; a processor; a memory elementcoupled to the processor; encoded instructions; wherein the system isfurther configured to: over a network, receive at least one of afacility systems data; based on the received facility systems data,control an action via the facilities resource management system; whereinthe received facility systems data is gathered via at least one facilitysensor configured to detect facility-incoming light spectra and a sensormanager for determining a deficiency in light spectra; and wherein theactions controlled by the facilities resource management system isaugmenting at least one of a spectral output of at least onelight-emitting diode (LED) channel from at least one LED light source;light brightness; and, or a light height adjustment, based on saiddeficiency.

It is another object to disclose and claim an integrated device fordetecting, processing, and delivering any number of plant growthautomation outputs based on a detected spectral-deficiency of facilityincoming and, or generated light. An exemplary integrated device maycomprise at least one sensor portion; at least one embedded sensormanager; at least one multi-channel light output portion; a processor; amemory element coupled to the processor; encoded instructions; whereinthe device is further configured to: receive at least one of a facilitysystems data by the at least one sensor portion; based on the receivedfacility systems data, the embedded sensor manager determine athreshold-grade deviation between the received facility systems data andan updated reference facility systems data profile; and based on thethreshold-grade deviation, cause any one of, or combination of, spectralmodulation, light intensity variation, and, or light height variationfrom the at least one multi-channel light output portion.

It is yet another object to provide for a method for spectraldeficiency-driven control in a plant growth automation. The method maycomprise the steps of: (1) receiving at least one of a facility systemsdata over a network; and (2) controlling an action via any one of, orcombination of a facilities resource management system based on thefacilities systems data, wherein the actions controlled are at least oneof varying spectral and brightness output of at least one light-emittingdiode (LED) channel from at least one LED light source, lightbrightness, and, or a light-beam path for causing a virtual foliageheight adjustment.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 illustrates an exemplary interaction flow diagram according toaspects of the invention.

FIG. 2 illustrates an exemplary interaction flow diagram according toaspects of the invention.

FIG. 3 illustrates an exemplary system diagram according to aspects ofthe invention.

FIG. 4 illustrates an exemplary process flow diagram according toaspects of the invention.

FIG. 5 illustrates an exemplary process flow diagram according toaspects of the invention.

FIG. 6 illustrates an exemplary spectral graph according to aspects ofthe invention.

FIG. 7 illustrates an exemplary mechanical system diagram according toaspects of the invention.

FIG. 8 illustrates an exemplary mechanical system diagram according toaspects of the invention.

FIG. 9 illustrates an exemplary process flow diagram according toaspects of the invention.

FIG. 10 illustrates an exemplary mechanical system diagram according toaspects of the invention.

FIG. 11 illustrates an exemplary mechanical system diagram according toaspects of the invention.

FIG. 12 illustrates an exemplary process flow diagram according toaspects of the invention.

FIG. 13 illustrates an exemplary process flow diagram according toaspects of the invention.

FIG. 14a illustrates an exemplary device diagram according to aspects ofthe invention.

FIG. 14b illustrates an exemplary device diagram according to aspects ofthe invention.

FIG. 14c illustrates an exemplary device diagram according to aspects ofthe invention.

FIG. 14d illustrates an exemplary device diagram according to aspects ofthe invention.

FIG. 15 illustrates an exemplary method flow diagram according toaspects of the invention.

FIG. 16 illustrates an exemplary system diagram according to aspects ofthe invention.

FIG. 17 illustrates a schematic diagram according to aspects of theinvention.

FIG. 18 illustrates a network diagram according to aspects of theinvention.

FIG. 19 illustrates a device diagram according to aspects of theinvention.

FIG. 20 illustrates a method flow diagram according to aspects of theinvention.

DETAILED DESCRIPTION

The following is a detailed description of embodiments of the inventiondepicted in the accompanying drawings. The embodiments are introduced insuch detail as to clearly communicate the invention. However, theembodiment(s) presented herein are merely illustrative, and are notintended to limit the anticipated variations of such embodiments; on thecontrary, the intention is to cover all modifications, equivalents, andalternatives falling within the spirit and scope of the appended claims.The detailed descriptions below are designed to make such embodimentsobvious to those of ordinary skill in the art.

As stated above, the traditional way of collecting data and integratingthose inputs for conversion into an automated flow of plant managementcontrols is now struggling to cope with new challenges brought by thegrowing complexity of an array of sensors, vast data points, segregatedcontrollers, and the innumerable number of applications. Embodimentsdisclosed include systems and methods that address these challengeseffectively and efficiently. Embodiments disclosed include a plantgrowth management system employed to continuously gather, diagnose andpredicted the condition of botanics, and make the necessarycontroller/application actions. A holistic management system and methodof controlling at least one botanical growing parameters by utilizing atleast one sensor input and deriving desired output of light, fertigationand, or environmental systems in indoor growing environments isdisclosed. More specifically, an automated system and method to controlat least one of a spectral, beam pattern and, or light intensity outputsof light sources by autonomously following a set of user-created recipe,with ability to incorporate one or more sensors to automatically adjustspectral, beam pattern and, or light intensity levels is provided.

FIGS. 1 and 2 illustrate an exemplary interaction flow in accordancewith an aspect of the plant growth management system. The illustratedembodiment includes a plant growth management system 10, 20 comprising:a control system 16, 26; a facilities resource management system; aprocessor; a memory element coupled to the processor; encodedinstructions; wherein the system 10, 20 is further configured to: over anetwork, receive at least one of a botanical characteristic data and, orfacility systems data 12, 22; based on the received botanicalcharacteristic data and, or the facilities systems data 12, 22 controlan action via any one of, or combination of the control system 16, 26and, or the facilities resource management system; and wherein theactions controlled by any one of, or combination of, the control system16, 26 and, or the facilities resource management system is any one of,or combination of, a spectral control of at least one light-emittingdiode (LED) channel from at least one LED light source 18, 28 a; lightbrightness 18, 28 a; and, or a light-beam path 18, 28 a, wherein thelight-beam path 18, 28 a is caused by a light beam angle differential inany direction from a y-axis perpendicular to the LED light source, andmodulation of which create a virtual height adjustment between any oneof the light sources and a top of a foliage.

In a preferred embodiment, the received botanical characteristic data,and, or the facilities systems data 12, 22 may be received from at leastone sensor; one sensor type; an array of sensors, and, or an array ofsensor types. The variety of sensors that may be employed are, but notlimited to, proximity sensors, temperature sensors, humidity sensors,gas detecting sensors, soil nutrients sensors, moisture sensors, lightwavelength, beam pattern, and brightness sensors, etc. In an embodimentof the present invention, the data captured by the one or more sensors12,22 is first sent to the sensor manager 14 and thereby, sent to theprocessing unit over the network. Alternatively, the processed botanicaland facility input 12, 22 from the sensor manager 14 is streameddirectly for processing by the control system 16, 26 for rendering avariety of controller and application output. This streaming of input12, 22, processed input, and output for controller/application action18, 28 may be over a short range wireless communication protocol.Examples of the short range wireless communication medium includeBluetooth, ZigBee, Infrared, Near Field Communication (NFC) andRadio-frequency identification (RFID).

In continuing reference to FIGS. 1 and 2, the facility or botanical data12, 22 captured by the sensor or array of sensors related to either, orboth, a facility and, or botanical parameter, may be communicated to thesensor manager 14 and, or the control system 16, 26, which will relayinput signals from sensors and relay output commands to any one of, orcombination of controllers 18, 28. The control system 16, 26, comprisingof a controller processor, controller driver, application processor, anddatabase, codes the data 12, 22 to actuate any one of, or combinationof, a light control 28 a for adjusting spectral ratio, light intensity,and, or light beam pattern 26 a; a fixture and, or platform control 28 bfor adjusting height between light source and canopy 26 b; a fertilizerand, or watering unit 28 c for fertilization and, or irrigation 26 c;HVAC unit for zone temperature and humidity control 28 d; and, or afacility system control 28 e.

In one embodiment, system configuration may include controllers 18, 28that wirelessly communicates with the sensor manager 14, control system16, 26 through any short-range mode of wireless communication, such asWi-Fi, UWB, Bluetooth, ZigBee, or any protocol standards for short rangewireless communications with low power consumption. In anotherconfiguration, the flow of data communication may be the through a wiredconnection where each controller 18, 28 would be wired to a controlsystem 16, 26 through USB, or any cable, connector and communicationprotocols used in a bus for connections, communications, and powersupply for electronic devices. Each controller 18, 28 can be poweredthrough the control system 16, 26, or independently powered.Additionally, a power cord may be plugged into a standard AC120V socket,which is attached to the controller 18, 28. In one embodiment, thecontroller 18, 28 may have a power cord or control wire that will pluginto the control system 16, 26. While in the present example, thecontroller 18, 28 and control system 16, 26 are networked via a cord orwire, other embodiments may include communicating over wirelessshort-range or long-range networks.

In one preferred embodiment, not shown in FIG. 1 or 2, a high-levelinitialization protocol may begin with establishing a control system 16,26 and controller 18, 28 connections and confirming power of each. Inanother embodiment, the system may establish connection with eachcontroller individually in a configuration void of the control system16, 26. Next, the initialization protocol may confirm if each controlleris in the optimal orientation; read extant input readings from allsensor inputs 12, 22; confirm foliage/canopy positioning—locationrelative to light source 28 a, watering/fertilizing delivery 28 c;determine if a sensor-captured composite profile and a reference profilediscrepancy is threshold-grade; confirm servo motors or any other typeof controller actuator are operational; command output to at least onecontroller 18, 28; and finally, safely confirm no overloading ofcircuitry or overheating. Optionally, verify in near real time that theactions called for by the controller outputs have indeed been executedby the sensor feedback. Further optionally, trouble shooting protocolsmay be initiated upon an error alert.

In another preferred aspect, also not shown in FIG. 1 or 2, a high-levelcommunication protocol may include a controller library to create andstore a programmed work-flow (user-created grow recipes) of specificcontroller outputs 18, 28. This RecipeGrow paradigm allows for thesystem to follow an external recipe for control of environmental,botanical and facilities management systems to optimize the growth cyclefor maximum yield or benefit The controller library and, or controlsystem 16, 26 may then send instructions to a controller 18, 28 via USB,USCI, I2C, SPI, UART, or other wireless communications protocols, whichmay, in turn, coordinate actuation of motors in series, or in parallel,to deliver the latent-free control output. The drive actuation ofcontroller motors may use pulse-width modulation (PWM), allowing forvariable control of a driver and actuator. Machine learning andpredictive algorithms may update the content of the controller library.Machine learning and predictive analytics applied to sensor feedback isused to determine whether plant growth matches the expected resultsbased on the recipe, and the ability to automatically “advance” or“revert” the recipe to differing grow stage based on allowed parametersof the application program. If the sensor feedback provides athreshold-grade discrepancy that cannot be resolved by the rules engineof the recipe application program, a major error alert will be pushed inthe form of a dashboard alert formatted for an interface display.

Shown in FIG. 4 is a general initialization flow illustrating thefeedback-driven RecipeGrow automated system. In the first step, thesystem determines multiple grow status measurements from sensormeasurements 41; compares the actual metrics with the expected metricsfrom the grow recipe data 42, The question is posed, for each growparameter, is the measured metrics meet expected metrics? If yes, loadthe verified recipe into controller outputs and automatically executeuntil the next sensor read period 46. If no, does the actual metricsmeet the other grow recipe stage metrics within permitted ranges (notoutside threshold values) 44? If yes, auto-load the alternative recipeinto controller outputs and automatically execute until next sensor readperiod 47; and alerts of changes are pushed 48, If no, a RecipeGrowerror is confirmed and alerts are dispatched 48.

Back to discussions of the communication protocol, in yet anotherconfiguration, an autonomous facility resource management tool mayultimately determine the power requirements for each controller. Forexample, if the fixture or platform controller 28 b will not requireheight adjustment, the facility resource management tool can dedicateincreased compute and facility resources to spectral, brightness, andbeam pattern controller 28 a. As another example, within the lightingsystem, maximizing one channel and allowing other less needed channelsto be lowered may allow for an effective management of lighting and, ortotal system power consumption. This improves the overall powerefficiency of the system, without losing workflow efficiencies. Anotherembodiment of a communication protocol may be for a comprehensive safetymonitoring system. The facility resource management tool may alsocontinuously monitor circuit behavior, motor output, and other complexsimultaneous and series systems to mitigate hazards. Attention of theoperator and, or grower in the event of an emergency may be pushed inthe form of a dashboard alert formatted for an interface display. Theuser interface and experience may also generate reports/alertscorresponding to the various sensed conditions and, or control outputs.These reports and alerts may enable a concerned party to track theprogress of the plant growth life cycle. In an embodiment of the presentinvention, the concerned party is enabled to view the reports, asgenerated by the processing unit using one or more devices selected fromthe group comprising a smartphone, a computer, a laptop, a tablet, apersonal digital assistant (PDA) and a mobile phone.

Some embodiments may include the addition of a remote server to providefor back-end functionality and support. The server may be situatedadjacent or remotely from the system and connected to each system via acommunication network. In one embodiment, the server may be used tosupport verification or authentication of a user and a mobile deviceapplication function. The remote server may be further configured tosupport a history function; help support a network sharing function; andsupport a recipe suggestion engine. The remote server may be furtherconfigured to provide the recipe-driven control system, which mayfurther authenticate the user and retrieve usage data of the user andapply the data against a predefined criteria of use.

Other embodiments may include a remote server that is configured toprovide a contextually-aware recipe suggestion engine, which may accessthe user history function and at least one user contextual informationto cause the processor to display a suggested recipe on at least onedisplay interface. In yet other embodiments, the control system 16, 26and, or controllers 18, 28 may be associated with an Internet of Things,whereby the system and, or controllers are fully integrated into afacilities automation system, thereby providing additional contextualinformation for a contextually-aware recipe suggestion engine.

The server may include cloud provisioning and connected to each systemvia a communication network. The network may be any suitable wirednetwork, wireless network, a combination of these or any otherconventional network, without limiting the scope of the presentinvention. Few examples may include a LAN or wireless LAN connection, anInternet connection, a point-to-point connection, or other networkconnection and combinations thereof. The network may be any other typeof network that is capable of transmitting or receiving data to/fromhost computers, personal devices, telephones, video/image capturingdevices, video/image servers, or any other electronic devices. Further,the network is capable of transmitting/sending data between thementioned devices. Additionally, the network may be a local, regional,or global communication network, for example, an enterprisetelecommunication network, the Internet, a global mobile communicationnetwork, or any combination of similar networks. The network may be acombination of an enterprise network (or the Internet) and a cellularnetwork, in which case, suitable systems and methods are employed toseamlessly communicate between the two networks. In such cases, a mobileswitching gateway may be utilized to communicate with a computer networkgateway to pass data between the two networks. Furthermore, an entiredata package (sensor data, control outputs, recipes) may be“crowd-sourced” from any number of grow facilities to feed a wider arrayof data for richer analytics and provisioning. The network may includeany software, hardware, or computer applications that can provide amedium to exchange signals or data in any of the formats known in theart, related art, or developed later.

Now in reference to FIG. 3. FIG. 3 depicts an exemplary system inaccordance with an aspect of the invention, featuring a remote sensorunit 32, remote server/cloud unit 34, and a plant growth managementsystem, or more particularly, a holistic recipe-grow botanicalmanagement system 36. The remote sensor unit 32 further comprisesbotanical sensor inputs, facility resource sensor inputs, and securitysensor inputs. These multiple and heterogeneous data inputs may convergein an integration layer, such as a sensor manager, disposed withinremote sensor unit 32 or the plant growth management system 36. Thesensor manager may further manage the data packets—of varying format—andcollate into discrete bundles of packets/formats. In other embodiments,the sensor manager may serve as a data format converter, converting theplurality of data formats—from disparate sensing devices—into auniversally recognized format. In yet other embodiments, the pluralityof data inputs and formats converge directly into an interaction policylayer in the plant growth management system 36 for any one of collatingthe disparate data formats from a multitude of devices; and, or,converting the disparate data formats into a universally recognized dataformat; and aggregating the bundled and, or converted data inputs forconfiguring a composite plant growth profile.

Sensing devices—however disparate—may communicate with either the sensormanager and, or the interaction policy layer wirelessly via Bluetooth—orany other short-range communication protocol—interfacing with any one ofa mobile phone, Wi-Fi router and Wide Area Network access. The sensormanager aggregates any one of the botanical characteristic input,facilities resource input and generates a composite plant growthprofile, and cross-references against a corresponding reference plantgrowth profile. The profiles, both composite and reference, take intoaccount complete device behavior. Device behavior includes not only dataoutput informed by raw sensor input, but also data output informed bynetwork and device technical characteristic. Such technicalcharacteristics may take into account network traffic, bandwidth,network bottlenecks, network malfunctioning, device malfunctioning, dataacquisition infidelity, signal transduction jams, latency, grower/systemoperator feedback, etc. By taking in such device and network technicalcharacteristics, the system or controller may be able to make asecondary assessment of a discrepancy threshold and rule out device ornetwork malfunctioning—verifying that the threshold-grade discrepancy issolely due to plant growth characteristics. In some embodiments, thealert of a plant growth discrepancy and, or any of the automatedcontrols is triggered only after the device and, or network anomaly isruled out after the discrepancy threshold is reached.

Still in reference to FIG. 3, flagging or tagging a thresholddiscrepancy of an event between the composite plant growth profile andthe reference plant growth profile to detect a threat or actuate acontroller is determined by machine learning algorithms. In someembodiments, machine learning algorithms may be employed to inform athreshold discrepancy rater to determine whether a discrepancy thresholdis threshold-grade. Further yet, a machine learning algorithm may beemployed to inform more upstream processes, such as generating acomposite plant growth profile and, or the reference plant growthprofile. (Reference FIG. 4 process flow)

One control actuation that may be activated upon threshold-gradediscrepancy is the lighting control. Any one of, or combination of, aspectral ratio, light intensity, or light beam pattern may bedynamically adjusted. In a preferred embodiment, the control system and,or the facilities resource management system may vary a spectral outputof at least one of a plurality of light emitting diode (LED) spectralchannels from a single LED light source or from an array of LED lightsources. The single LED light source may comprise at least two distinctLED spectral channels, whereby at least one channel is active at anygiven time of a plant growth life cycle. Alternatively, any numberbeyond two LED spectral channels may be employed. In a preferredembodiment, the spectral output of any of the spectral channels isdependent on any one of, or combination of, botanical characteristics,plant growth life cycle stage, time, control system input, and, orfacilities resource management system input.

In terms of spectral ratio, specific light spectrum and wavelengths arecritical for plant growth. The key wavelengths are the ones that drivethe photosynthesis of plant by energizing chlorophyll A and B, the twotype of molecules that convert light energy into sugar. Therefore, themost desired wavelengths are the parts of the spectrum that activatesthese two types of chlorophylls: 430-660 nm for chlorophyll A and460-630 for chlorophyll B. Depending on the grow stage of the plant, ithas been demonstrated in various studies that certain emphasis orde-emphasis of these wavelengths may produce more of the desired resultsand mitigate negative effects. For example, since during the floweringstage, blue wavelengths may not be as critical, the overall power budgetof the light system could divert the power from blue spectrum to redspectrum. In essence, this would mean “turning down blue LEDs andturning up the red ones”—so the total amount of power of the lightsystem can stay within the fixture design limit, yet producing themaximum amounts of specific wavelengths of light that are useful.Alternatively, vegetative stage of plant growth requires more relativeblue spectrum, and the same methodology of increasing the outputs ofblue wavelengths, while relatively decreasing the outputs of redwavelength may result in the same light fixture power efficiency. Thereis also research that shows that too much blue wavelengths duringseedling stages will make them “leggy” as they tend to “chase” the bluesource. As a result, a system that may dynamically vary spectral outputof at least one of a plurality of light emitting diode (LED) spectralchannels from a single LED light source or from an array of LED lightsources exploits this light-plant growth phenomenon (see FIG. 6—spectralgraph illustrating customized spectral control over time). As far aslight intensity controls, studies suggest that an on-off step functiontype of system may have negative impacts on the health of the plants.Dimming over time would allow for artificial “sunrise and sunset”. Also,dimming a specific channel(s) will allow the dynamic budgeting of totallight output to maximize for desired wavelengths without exceeding thepower limits.

In continuing reference to FIG. 3, one example of a light phenomenontriggering dynamic variability of spectral output may be detecteddeficiencies of spectra of incoming or generated light within a facilitydue to leaching. This detected deficiency by sensors may trigger atleast one of a plurality of light emitting diode (LED) spectral channelsfrom a single LED light source or from an array of LED light sources.Moreover, detected deficiencies of spectra may also trigger othercontroller outputs, such as light height adjustment—both real andvirtual. Any one of, or combination of, a spectral ratio, lightintensity, or light beam pattern may be dynamically adjusted.

As illustrated in FIG. 3, a spectral deficiency-driven control system ina plant growth automation is shown. The system may comprise a facilitiesresource management system; a processor 34; a memory element 34 coupledto the processor 34; encoded instructions; wherein the system is furtherconfigured to, over a network, receive at least one of a facilitysystems data 36 and control an action via the facilities resourcemanagement system; wherein the received facility systems data 36 isgathered via at least one facility sensor 32 configured to detectfacility-incoming and, or facility-generated light spectra and a sensormanager 36 for determining a deficiency in light spectra; and whereinthe actions controlled by the facilities resource management system 36is augmenting at least one of a spectral output of at least onelight-emitting diode (LED) channel from at least one LED light source;light brightness; and, or a light height adjustment, based on saiddeficiency.

In an exemplary embodiment, the facilities resource management systemmay comprise at least one of at least one facility sensor 32 configuredfor detecting facility-incoming and, or facility-generated lightspectra; at least one sensor manager 36 for aggregating light spectradata from the at least one of the facility sensors 32 and for detectinga threshold-grade light spectra deviation from a reference light spectraprofile; and a controller 36 for augmenting at least one of a spectraloutput of at least one light-emitting diode (LED) channel from at leastone LED light source; light brightness; real light height adjustment;and, or a virtual light height adjustment based on a presence and amountof the threshold-grade light spectra deviation from the reference lightspectra profile. The reference light spectra profile may be strictly thelight spectra from incoming light detected by sensors 32 situated on topand exterior of the facility—unpolluted by structural or atmosphericinterference. In other embodiments, an aggregate of sensor history andother contextual data may be data points forming the basis of thereference light spectra profile. Other sensor 32 and lightspectra-related data may form the basis of the reference light spectraprofile. Actual light spectra at the canopy-level (potentiallycompromised by atmospheric and, or structural interference) may bedetected by sensors 32 disposed at or near the level of the canopy. Thesensor manager 36 may compare actual light spectra at the canopy-levelwith the reference light spectra profile and detect a threshold-gradelight spectra deviation for actionable augmentation.

Alternatively, the sensor manager 36 may aggregate facility-light outputcharacteristics as part of a facility systems data 36. In other words,without actual sensor detection of light output, the sensor manager 36may be able to gather data/meta-data of light output from facility orspectral-programmed lights to compare against a reference spectralprofile in order to determine an actionable deficiency.

The facility sensor 32 may be at least one of a spectrometer, spectralradiometer, and, or a photo-sensor configured for detecting afacility-incoming and, or a facility-generated light spectra. The sensor32 may be any one of a sensor 32 capable of detecting light spectra witha reasonable amount of resolution to delineate between spectrumwavelength bands. The sensor 32 may be operably communicative with atleast one of a sensor manager 36 and, or a processor 34 for detecting athreshold-grade light spectra deviation from a reference light spectraprofile; and capable of augmenting at least one of a controller-mediatedfunction based on said deviation.

While not shown in FIG. 3, the at least one facility sensor 32 may bedisposed on at least one of an exterior or interior of a plant growthfacility; top of a foliage canopy; top of a foliage soil bed; on any oneof a side of a foliage container unit; on any one of a side of a rack offoliage container units; on any one of surface of the actual lightfixture providing light spectral output; and, or on any of a surface ofthe fixture delivering the controller-mediated function. Preferably, alight sensor 32 situated on the top and exterior of a facility willgather the incoming light and serve as at least one reference point as abasis for the reference light spectra profile. At least one other sensor32 will be situated near the top of a canopy in order to receive anaccurate reading of spectra at the canopy level and form the basis ofthe real-time actual light spectra at the canopy-level (unpolluted bystructural or atmospheric interference). Any detected deficiency inspectra between the real-time, actual spectra reading and the referencespectra profile over a threshold-grade may trigger any of the abovementioned outputs. As a result, the configuration of sensors 32 with anoperably coupled sensor manager 36 may detect the gradual leaching ofoptimal frequencies of incoming light spectra due to atmospheric orstructural interference, and augment a spectral output to compensate forthe leaching.

The sensor manager 36 may aggregate any one of the facilities resourceinput 36 and generates a composite facility systems data profile, andcross-references against a corresponding reference facilities systemsdata profile. Preferably, the sensor manager 36 may only require asingle facility system input (light spectra) at the canopy-level and asingle facility system input (light spectra) at the top and exterior ofthe facility to cross-reference for purposes of generating a spectraldeficiency. The reference facilities systems data profile may be asingle data input of light spectra captured by a sensor situated on topand exterior of the facility—not interfered by a facility structure orby its internal environment. In other embodiments, the referencefacilities systems data profile may encompass user history of datacapture by the said sensor, and, or other contextual data. The flaggingor tagging of a spectral deficiency between the actual spectra and thereference facilities system profile may be determined by machinelearning algorithms. In other embodiments, machine learning orprobabilistic learning may be involved in developing and periodicallyupdating the reference facilities system profile.

Still in reference to FIG. 3, at least one controller 36 may actuateand, or manage at least one of a plant growth automation system outputbased on the threshold-grade deviation determined by the sensor manager36. The controller 36 may be operably coupled to the sensor manager 36for causing any one of, or combination of, control, synchronization,coordination, and, or calibration of plant growth automaton systems,thereby enabling adaptive actuation or management of plant growthautomation system outputs 36 based on the determined threshold-gradedeviation. For instance, plant growth automation system outputs actuatedand, or managed by the controller 36 may be at least one of a spectraloutput of at least one light-emitting diode (LED) channel from at leastone LED light source and a light brightness, while not changing thelight height adjustment. Alternatively, based on the sensormanager-determined threshold-grade deviation, the spectrally-tunedlights may remain unchanged, while simply altering the light brightnessand altering the light height. Any one of, or combination of,controller-mediated outputs may be coordinated to augment the extent ofthe determined deficiency in light spectra. Any one of, or combinationof, a spectral ratio, light intensity, or light beam pattern may bedynamically adjusted.

FIG. 5 depicts an automated spectral output and brightness control flow.As illustrated in FIG. 5, the first step asks whether an automated growapplication is enabled 51? If no, then a manual mode of operatingspectral and brightness control may be activated 51 a. If yes, thendownload the spectral and brightness recipe and expected sensor datafrom the application database 51 b; compare results from sensor readingsto expected data 52; and pose the next question: are sensor readingswithin permissible results 53. If no, dispatch grow cycle error message53 a; and if yes, the grow cycle is on plan and the lighting controlsystem enables the indicated spectral output and dimming recipes 53 b.Once enabled, continuously monitor and control spectral and brightnessoutputs based on indicated light recipes for a specific duration 54.Optionally, the automated spectral output and brightness control flowcan further deploy the autonomous RecipeGrow methodology, wherein thesystem can automatically “advance” or “revert” to observed growth phasewithout manual intervention.

A light beam pattern—modulation of which may create for a “virtualcanopy height/target distance of illumination” protocol—may serve as anadditional lighting control. In a preferred embodiment, modulation ofthe ratio between pointed and broad-angle beam pattern may be used tovary the target distance of the photon energy. In alternativeembodiments, the modulation of pivotable actuators coupled to pointedlight sources and broad-angle light sources may provide for directionallight beam patterns illuminating a foliage canopy. The pointed lightbeam pattern provides for plants to have a concentrated light energydelivery, whereas the broad-angle beam pattern increases the total lightenergy in the target area with potentially better delivery of lightenergy to lower canopy leaves. The lower canopy leaves may be shadowedby the upper foliage when only illuminated by focused light sources. Ina preferred embodiment, one may set the range of the ratio between thefocused, pointed versus diffused or broad lights for virtual targetdistance optimization and then within that range, provide for somevariability to keep the physical characteristics of the plant.Optionally, if localized sensor can detect over-limit conditions, suchas foliage temperature and, or distance between light fixtures and topof canopy, then a targeted variance of the beam pattern combination orintensity can be performed.

Now in reference to FIG. 7, which depicts a virtual height adjustmentflow using a light beam pattern control. In a high canopy or closerlight scenario 71, strong output from linear wide angle beam sourcescreates a light beam pattern conducive for delivering a high level oflight to target height without over-exposure 71 a. Conversely, a weakeroutput from narrow angle light beam sources creates a light beam patternconducive for delivering a weaker level of light to target height 71 b.In a lower canopy or higher light scenario 72, a strong output fromnarrow angle beam sources result in high level of light delivery totarget height without losing requisite amount of light delivery 72 a.Further yet, weaker output from linear wide angle beam sources maycomplement for delivering a full complement of virtual height adjustmentand light intensity 72 b. These changes in angle and beam pattern reachcreate a virtual height adjustment between light source and foliagecanopy, thereby adding a second layer of height control, in addition tophysical height adjustment. Depending on the growth height of the targetplant species, it is possible that only the virtual height adjustmentmay be sufficient to fully control the canopy height range. These addedlayers of height adjustment and lighting controls, whether deployedseparately or in combination, create a comprehensive suite of controlsto optimize plant yield and growth.

In addition to the virtual height adjustment, the control system maycontrol for a physical height adjustment. FIGS. 8 and 9 both illustratea physical canopy height adjustment. In a preferred embodiment, a pulleycontrol 83 may be coupled to any one of the control system 82,facilities resource management system, and, or any one of a proximity,moisture, time, and, or environmental sensor 81, whereby input from anyone of the control system 82, facilities resource management system,and, or the sensor 81 may activate the pulley control 83 to tensionallycontrol a line to adjust a height of at least one LED light source froma foliage canopy. Furthermore, input from the control system 82,facilities resource management system, and, or the sensor 81 mayactivate the pulley control 83 to tensionally control the line to adjustthe height of a plurality of LED light sources from a plurality offoliage.

Preferably, the pulley control 83 may be electronically coupled to thecontrol system 82 and a line tensionally coupled to a top surface of atleast one LED light source, whereby the control system 82 controls linetension based on input related to any one of a foliage proximity,foliage moisture, foliage colors, soil chemicals, foliage growth stage,and, or growth time from any one of at least one sensor 81 disposed on abottom surface of the at least one LED light source and, or within atleast one foliage container unit. Further, the control system 82 maycontrol line tension of a plurality of lines tensionally coupled to aplurality of LED light sources to adjust a height of the plurality ofsaid LED light sources situated over a plurality of foliages.

In a preferred embodiment, the canopy height adjustment control systemfirst determines canopy height based on sensor measurements 91. Is theaverage canopy distance below threshold values 92? If no, is the averagecanopy distance further than allowed 93? If no, then no change 94. Ifyes, to either 92 or 93, then adjust canopy height either physically 95or virtually 96. Finally, push alerts of the canopy height adjustmentchanges as required 97. In alternative embodiments, a platform may bemechanically or physically be raised or lowered—rather than, or incombination to, the pulley control—in order to augment canopy-lightsource distance (FIG. 10).

Yet another group of control system features in relation to the plantgrowth management system are the automated irrigation, fertilization,and CO2 controls, as depicted in FIGS. 11, 12, and 13, respectively. Thecontrol system 112 and, or the facilities resource management system maybe coupled to a fertilizing unit 113, watering unit 114, and, or a gasunit, wherein input from the control system 112 and, or the facilitiesresource management system activate any one of a feed, water, and, orgas from the fertilizing unit 113, watering unit 114, and, or gas unit,respectively. These units may further be in fluid or gaseouscommunication to a foliage canopy within a foliage container unit 115,through a supply line 116. Furthermore, the input from any one of thecontrol system 112 and, or facilities resource management system isprocessed from a sensor input from any one of a sensor 111 disposed on abottom surface of an LED light source 117 and, or disposed within afoliage container unit 115; and wherein the sensor is configured todetect raw input related to any one of a foliage proximity, foliagemoisture, foliage and, or canopy color, soil chemical, foliage growthstage, and, or growth time. Alternatively, a sensor manager may serve asan intermediary—collecting, collating, and bundling the disparate andheterogeneous sensor input format for universal integration anddownstream system control.

FIGS. 12 and 13 illustrate process flow diagrams capturing the automatedirrigation, fertilization and gaseous controls, respectively. In apreferred embodiment, as a first step, the system determines if anautomated grow and, or environmental control application is enabled 121,131? If not, then a manual operations mode is tasked 121 a, 131 a. Ifthe applications are enabled, download fertigation and expected sensordata from application database and, or download gas (CO2), temperature,and humidity data from the application database 121 b, 131 b. The systemthen continuously monitors and compares results from sensor readings toexpected data 122, 132. If the sensor readings are within a thresholdvalue 123, 133, then the indicated irrigation and fertilization recipesand, or temperature, humidity, and CO2 levels are enabled 123 b, 133 b.If not, the system dispatches an error message and proceeds through atrouble-shooting pathway 123 a, 133 a.

FIG. 14 illustrates a variety of perspectives of the light fixturedevice. Both a side perspective of a single-cross configuration (14D)and bottom view perspectives of the single-cross (14A) and multi-crossconfigurations (14B) are disclosed. Additionally, FIG. 14 illustrates abottom view perspective of the multi-linear configuration of the lightfixture device (14C). In a preferred embodiment, the light fixturedevice (14A, 14B, 14C, 14D) may be operably coupled to any one of, orcombination of, a control system, facility resource management system,pulley control, watering unit, fertilizing unit, gas unit, moveableplatform, sensor, and, or an array of sensors. The device may, over anetwork, receive at least one of a botanical characteristic data and, orfacility systems data; based on the received botanical characteristicdata and, or the facilities systems data control an action; and whereinthe action controlled relate to varying spectral output of at least onelight emitting diode (LED) channel from at least one LED light source,and, or a light beam path from at least one LED light source and a topof a foliage for causing a virtual foliage height adjustment. In otherembodiments, a physical and, or virtual height adjustment of the lightfixture device may be possible, thereby actually causing change indistance between the foliage canopy and the light source, or at the veryleast, creating the impression of distance change due to augmenting alight beam pattern. In yet other embodiments, controls forfertilization, irrigation, CO2 delivery, and other environmentalcontrols may be operably coupled to a control system and the lightfixture device, foliage container unit, and, or platform.

In its most basic form, the light fixture device may be configured in asingle linear array of light emitting diode (LED) light sources (notshown). In a preferred embodiment, the light fixture devices may beconfigured in a cross-pattern of a linear array of LED light sources(141, 142). While a single-cross configuration may be sufficient foroptimal delivery of grow controls, any number of crosses may bepossible, without departing from the scope of the invention. The singlecross configuration is a sufficient form factor for housing of at leastone LED light source for a pointed, non-broad angle source of spectraloutput 14A—in addition to the linear array of spectral output sources141 b.

In continuing reference to the cross configuration, the at least one LEDlight source for the pointed, non-broad angle source of spectral output141 a may have a light beam pattern with no more than a 60-degree lightbeam angle differential in any direction from a y-axis perpendicular tothe pointed LED light source 141 a. Furthermore, wherein the at leastone broad angle LED light source or the linear array of LED lightsources 141 b has a light beam pattern with no less than a 60-degreelight beam angle differential in any direction from a y-axisperpendicular to the broad angle LED light source or the linear array ofLED light sources 141 b. Further yet, the at least one pointed LED lightsource 141 a and the linear array of LED light sources 141 b havevarying light beam patterns, such that modulation of each create avirtual height adjustment between any one of the light sources and a topof a foliage.

Still in reference to the single cross configuration of the linear arrayof LED light sources 141 is further comprising of any one of, orcombination of, at least one mechanical support rail 141 c; at least onecontrol output 141 d; at least one power supply input 141 d; and atleast one sensor. Alternatively, the at least one control output 141 d,power supply input 141 d, and sensor, may be disposed outside of thelight fixture device 141, 142, 143, 144. Any of the aforementioned maybe disposed within the adjustable platform, foliage container unit, and,or light fixture device surrounding system and components, for instance.The single cross configuration of the linear array of LED light sources14A is further comprising of four mechanical support rails 141 c in asquare configuration, wherein each rail 141 c makes support contact on atop surface of at least one linear array of LED light sources 141 b,such that an intersection point of the crossed-linear array of LED lightsources 141 b is disposed within the square of the mechanical supportrails 141 c. Preferably, at least one control output 141 d and powersupply output 141 d may be disposed on the top surface of theintersection point of the crossed-linear array of LED light sources 141b; at least one sensor disposed on the bottom surface of theintersection point of the crossed-linear array of LED light sources 141b. Also, in the preferred embodiment of the cross-configuration, atleast four pointed LED light sources 141 a, each disposed at anintersection point of the mechanical support rails 141 d in the squareconfiguration, may be provided for. However, any configuration, with anynumber of mechanical support rails 141 c, crossed-linear array of LEDlight sources 141 b, pointed, non-broad angle LED light sources 141 a,power supply 141 d, and, or control outputs 141 d may be possible andall fall within the scope of the invention.

Now in reference to FIG. 15, which depicts a method flow diagram of theplant growth management method. In an exemplary embodiment, the methodcomprises the steps of: receiving at least one of a botanicalcharacteristic data and, or facility systems data over a network 151;and controlling an action via any one of, or combination of the controlsystem and, or the facilities resource management system based on thereceived botanical characteristic data and, or the facilities systemsdata, wherein the actions controlled are any one of varying spectraloutput of at least one light-emitting diode (LED) channel from at leastone LED light source, light brightness, and, or a light-beam path forcausing a virtual foliage height adjustment 152. Moreover, furtheractions controlled may be irrigation, fertilization, CO2 levels,temperature, humidity, and, or physical and, or virtual heightadjustment 152.

The system may additionally support an automation work-flow platform.Any one of the control system and, or the facilities resource managementsystem is supported by at least one custom application developed by atleast one third party through an Application Program Interface (API)gateway. In one instance of a custom work-flow automation platform orplatform application, one action controlled by any one of the controlsystem and, or the facilities resource management system triggers asecond set of actions controlled by a “if this, then that” scriptmanager. The second set of actions controlled by the “if this, thenthat” script manager further comprises any one of a system override or asystem shut-down. Additionally, the second set of actions may be asecond set of API-mediated, non-system actions controlled by a “if this,then that” script manager. This second set of API-mediated, non-systemactions controlled by the “if this, then that” script manager may be anyone of, or combination of, social media alerts, social media posts,e-mail alerts, e-mail posts.

Furthermore, the API gateway may allow for user-created control recipes.wherein the “if this, then that” script manager is further embedded withan “and, or” trigger or action operators, allowing for user-createdcontrol recipes or an automation command set with increased triggers oractions. The platform or platform application may allow 3^(rd) partiesto “create” their grow recipes of any plant and have the “system”control all lighting, fertigation, environmental and security/othersystems from a single “control system”. That way, a third party can“create” a new strain of a plant that they can offer for sale with the“recipe” that the buyer would run on the plant growth management system.in essence, sensor feedback is used to determine whether plant growthmatches the expected results based on the recipe, and the ability toautomatically “advance” or “revert” the recipe to differing grow stagebased on allowed parameters of the application program. If the sensorfeedback provides out-of-range and/or conflicting data that cannot beresolved by the rules engine of the recipe application program, a majorerror alert may be dispatched.

Now in reference to FIGS. 16 and 17. FIG. 16 illustrates a systemdiagram of the facility resource management system 160, furthercomprised of at least one facility sensor 162, sensor manager 164,control systems 166, and an eventual output 168. FIG. 17 illustrates aschematic of the facility resource management system augmenting anyspectrum bandgap as a result of light leeching 172 with output 173 fromspectrally-tuned light devices 173. Fine tuning of the emission spectrumof at least a single light-emitting diode as a result of environmentalor plant growth characteristics is vital. FIGS. 16 and 17 focus on theenvironmental factors driving spectral emission modulation, inparticular light leeching or filtering as a result of atmospheric orstructural impediments 172. The resulting gaps in spectral wavelengthdue to this leeching may be detected and augmented by thespectrally-tuned light devices—all driven in an automated fashion by theself-contained facility resource management system 160.

Tuning of the emission wavelength to compensate for any leeched-inducedbandgap is achieved by the facility resource management system 160. Thisspectral deficiency-driven modulation is achieved by receiving at leastone of a facility systems data by the at least one sensor 162, 171;based on the received facility systems data, determine a threshold-gradedeviation between the received facility systems data and an updatedreference facility systems data profile by a sensor manager 164; andbased on the threshold-grade deviation, enable adaptive actuation ormanagement of any one of, or combination of, plant growth automationsystem outputs 168, 173 by a controller 166.

In one embodiment, the facility systems data is at least one of anynumber of wavelength segments of a light spectrum of incoming light orgenerated light 172 detected by at least one light spectra sensor 162,171. Additionally, the facility systems data may also include a detecteddeficiency within any number of wavelength segments of light spectrum bycomparing a real-time, actual light spectra profile with a referencelight spectra profile and determining a threshold-grade deviation by thesensor manager 164. Preferably, the incoming light 172 detected bysensors 162, 171 at the top and exterior of a facility represents thereference light spectra profile, while the light spectra 172 detected bysensors 162, 171 at the canopy-level within the facility represent theactual light spectra profile (presumably polluted by atmospheric andstructural impediments). The threshold-grade deficiency between theseprofiles may then command a control system 166 for causing any number ofappropriate operational state changes 168, 173 and, or outputs. In otherembodiments, an aggregate of sensor history and other contextual datamay be data points forming the basis of the reference light spectraprofile.

As illustrated in FIG. 17, the spectral sensors 171 may be disposed onthe top/exterior surface of a facility and, or adjacent to the top of afoliage (canopy-level). While not shown in FIG. 17, the spectral sensors171 may also be situated on the top/interior surface of any one of sideof the facility structure. In this embodiment, the spectral deficiencyis determined based on a comparison of spectra captured between thetop/interior sensor and the sensor at the canopy level. Moreover, whilealso not shown in FIG. 17, the spectral sensor 171 may be disposedadjacent to any one of a side of a foliage (sides, bottom, etc.).Furthermore, the spectral sensor 171 may be disposed on any one of aside of a foliage container unit; on any surface of a spectrally-tunedlight fixture; and, or on any fixture delivering any one of acontroller-mediated output. In some embodiments, an array of sensors 171situated in the above-mentioned strategic locations may be provided tooptimize the gathering of the incoming or generated light spectra 172.

Also illustrated in FIG. 17 is the process flow from facility systemsinput to the system output 173. In one embodiment, the output 173actuated and, or managed by the controller is at least one of a spectraloutput of at least one light-emitting diode (LED) channel from at leastone LED light source 173 based on a sensor manager-determinedthreshold-grade deviation. Although not shown in FIG. 17, lightbrightness and, or a light height adjustment may also be another systemoutput 173 in response to the detected spectral deviation. Based on thepresence and amount of the threshold-grade light spectra deviation fromthe reference light spectra profile, the controller may activate apulley control to tensionally control the line to adjust the height ofat least one LED light sources 173 from a top of at least one foliagecanopy. In addition to physical height adjustment, a virtual heightadjustment may also be achieved by modulating the light beam path orangle. For instance, based on the presence and amount of thethreshold-grade light spectra deviation from the reference light spectraprofile, the controller may modulate a degree of movement or activityfrom at least one of a pointed source or linear array source of LEDlight 173, thereby varying a virtual light height adjustment between atleast one LED light source 173 and a top of at least one foliage.

Back in reference to FIG. 16, the control, synchronization,coordination, and, or calibration of these plant growth automaton systemoutputs 168 may be achieved by the control systems 166, operably coupledto the sensor manager 162. In addition to the above mentioned systemoutputs 168, such as spectral-augmentation, light brightness, and, orlight height (real and virtual), there are a number of other controlsystem 166 application processor-mediated outputs 168. One example maybe that the application output 168 is operable with at least one thirdparty interface via an Application Program Interface (API) gateway. AnAPI gateway may allow for user-created control recipes.

Another example may be an automated growth-flow tool, wherein theapplication or controller output 168 triggers a second set of actionscontrolled by a “if this, then that” script manager. The actionstriggered by an “if this, then that” script manager may be any one of asystem override or a system shut-down. Another example of a second setof API-mediated, non-system actions controlled by the “if this, thenthat” script manager may be any one of, or combination of, social mediaalerts, social media posts, messages, e-mail alerts, and, or e-mailposts. To further elaborate, If the system detects a threshold-gradedeficiency . . . Then it will trigger modulation of a specificspectrally-tuned light device, while the script manager may then alertthe administrator on his or her personal device of the event and whichspecific device was modulated.

The “if this, then that” script manager may be further embedded with an“and, or” trigger or action operators, allowing for user-created controlrecipes or an automation command set with increased triggers or actions.To further elaborate, If the system detects a threshold-grade deficiency. . . Then it will trigger modulation of a specific spectrally-tunedlight device, while the script manager may then alert the administratoron his or her personal device AND alter the tint of the facility glassceiling in order to more preferentially trap light of an optimalfrequency. i.e., alter the light transmission characteristics of anelectrochromic, photochromic, thermochromic, or any other type of smartglass-built facility. Other possible triggers and, or commands mayrelate to updating an application dashboard, facility report, alert,and, or any one of botanical and, or facility system outputs.

FIG. 18 illustrates a network schematic with an integrated deviceembodiment. FIG. 19 is a bottom-up schematic of the integrated deviceembodiment. As illustrated in FIGS. 18 and 19, the various inputs andoutputs of the plant-growth spectral augmentation system may beintegrated into a single device. Such an integrated device may comprisea single or an array of sensors detecting any spectral deficiency andspectrally-tuning integrated LED's accordingly. Such a device couldremain as a stand-alone detection/tuning device, or be incorporated intothe/any plant-growth facility ecosystem, whereby other facility systemdata inputs are gathered for informing spectral tuning of said device.

In a preferred embodiment, the integrated spectral deficiency-drivencontrol device may comprise at least one integrated sensor portion 182b, 194; at least one embedded sensor manager 182 c, 192; at least oneintegrated multi-channel light output portion 182 f, 196, 198; aprocessor 182 g; a memory element 182 h coupled to the processor 182 g;encoded instructions. In a preferred embodiment, the device is furtherconfigured to receive at least one of a facility systems data 182 b bythe at least one integrated sensor portion 182 b, 194; based on thereceived facility systems data 182 b, the embedded sensor manager 182 c,192 determines a threshold-grade deviation between the received facilitysystems data 182 b and an updated reference facility systems dataprofile; and based on the threshold-grade deviation, cause any one of,or combination of, spectral modulation, light intensity variation, and,or light height variation from the at least one multi-channel lightoutput portion 182 f, 196, 198.

In specific reference to FIG. 19, the multi-channel light output portionmay be the narrow-angled, pointed output of light 198, or abroad-angled, diffused output of light 196. As shown in FIG. 19, theintegrated light fixture device may be configured in a series ofparallel single bars. Alternatively, a cross-pattern of a linear arrayof LED light sources with pointed lights 196, 198 may also be possible.While a single bar may be sufficient for optimal delivery of growcontrols, any number of parallel bars or cross patterns may be possible,without departing from the scope of the invention. The single bar,parallel-bar or cross configuration is a sufficient form factor forhousing of at least one LED light source for a pointed 198, non-broadangle source of spectral output—in addition to a linear array ofbroad-angled, diffused light output 196. In other embodiments, thesingle, parallel, or cross-configuration may house any number of lineararrays of broad-angled light sources 196, compounded with any number ofpointed light sources 198; any number of sensors 194, and at least oneintegrated sensor manager 192.

With respect to the cross configuration (not shown), the linear array ofbroad-angled light sources 196 is further affixed or disposed in across-configuration within square mechanical support rails. Themechanical support rails may have a pointed light output 198 at eachcorner of the square rails. Additionally, the linear-array of broadlight sources 196 may be disposed/affixed in a cross configurationwithin the square rails, with at least one sensor 194 disposed in thecenter of the square rails and, or the cross-linear array. The squarerails, moreover, may further consist of a sensor manager/controller 192on a single corner. While also not shown in FIG. 19, each squarerail/cross-array of lights may further comprise at least one controloutput; and, or at least one power supply input. Each square rail withan affixed cross-array of broad lights 196 may be combined with anynumber of additional, distinct rail/cross light devices. Any of theaforementioned may be disposed within the adjustable platform, foliagecontainer unit, and, or light fixture device surrounding system andcomponents, for instance. The light fixture device may be integratedinto any plant growth automation ecosystem.

In yet other embodiments, as illustrated by FIGS. 18/19, the device isfurther configured to receive at least one of a facility systems data182 b by the at least one integrated sensor portion 182 b, 194. Thereceived facility systems data 182 b may be at least one of any numberof wavelength segments of a light spectrum of facility-incoming orfacility-generated light detected by at least one light spectra sensor182 b, 194. The sensor 182 b, 194 may be further configured fordetecting the light spectra at the canopy-level by capturingcanopy-reflected light. The integrated or embedded sensor manager 192may detect a deficiency within any number of wavelength segments oflight spectrum and compare the canopy-level light spectra against areference light spectra profile. Again, the reference light spectraprofile may be any one of, or combination of, light spectra detected bysensors 182 b, 194 at the top/exterior of a facility, exterior of thefacility, top/interior of the facility, interior of the facility, sensorhistory, contextual data, etc. Preferably, the reference light spectraprofile comprises the light spectra detected by sensors disposed on thetop/exterior of a facility as a means to gather light unpolluted bystructural and, or atmospheric impediments. The integrated sensormanager 192 may determine a threshold-grade deviation for causing anoperational state change and, or controller-mediated output. Theoperational sate change may include any one of, or combination of,spectral modulation, light intensity variation, and, or light heightvariation from the at least one multi-channel light output portion 182f, 196, 198. Other operational state changes may also include changes tosystem phases, modes, and states.

FIG. 20 illustrates the steps involved in a spectral deficiency-drivenmethod, the method comprising the steps of: (1) receiving at least oneof a facility systems data over a network 202; and (2) controlling anaction via any one of, or combination of a facilities resourcemanagement system based on the facilities systems data, wherein theactions controlled are at least one of varying spectral output of atleast one light-emitting diode (LED) channel from at least one LED lightsource, light brightness, real light height, and, or a light-beam pathfor causing a virtual foliage height adjustment 204.

Since various possible embodiments might be made of the above invention,and since various changes might be made in the embodiments above setforth, it is to be understood that all matter herein described or shownin the accompanying drawings is to be interpreted as illustrative andnot to be considered in a limiting sense. Thus it will be understood bythose skilled in the art of infrastructure management, and morespecifically automated infrastructure management especially pertainingto data centers, that although the preferred and alternate embodimentshave been shown and described in accordance with the Patent Statutes,the invention is not limited thereto or thereby.

The figures illustrate the architecture, functionality, and operation ofpossible implementations of systems, methods and computer programproducts according to various embodiments of the present invention. Itshould also be noted that, in some alternative implementations, thefunctions noted/illustrated may occur out of the order noted in thefigures. For example, two blocks shown in succession may, in fact, beexecuted substantially concurrently, or the blocks may sometimes beexecuted in the reverse order, depending upon the functionalityinvolved.

The terminology used herein is for the purpose of describing particularembodiments only and is not intended to be limiting of the invention. Asused herein, the singular forms “a”, “an” and “the” are intended toinclude the plural forms as well, unless the context clearly indicatesotherwise. It will be further understood that the terms “comprises”and/or “comprising,” when used in this specification, specify thepresence of stated features, integers, steps, operations, elements,and/or components, but do not preclude the presence or addition of oneor more other features, integers, steps, operations, elements,components, and/or groups thereof.

In general, the routines executed to implement the embodiments of theinvention, may be part of an operating system or a specific application,component, program, module, object, or sequence of instructions. Thecomputer program of the present invention typically is comprised of amultitude of instructions that will be translated by the native computerinto a machine-accessible format and hence executable instructions.Also, programs are comprised of variables and data structures thateither reside locally to the program or are found in memory or onstorage devices. In addition, various programs described hereinafter maybe identified based upon the application for which they are implementedin a specific embodiment of the invention. However, it should beappreciated that any particular program nomenclature that follows isused merely for convenience, and thus the invention should not belimited to use solely in any specific application identified and/orimplied by such nomenclature.

The present invention and some of its advantages have been described indetail for some embodiments. It should be understood that although thesystem and process is described with reference to automated powermanagement and optimization in plant growth centers, the system andprocess is highly reconfigurable, and may be used in other contexts aswell. It should also be understood that various changes, substitutionsand alterations can be made herein without departing from the spirit andscope of the invention as defined by the appended claims. An embodimentof the invention may achieve multiple objectives, but not everyembodiment falling within the scope of the attached claims will achieveevery objective. Moreover, the scope of the present application is notintended to be limited to the particular embodiments of the process,machine, manufacture, composition of matter, means, methods and stepsdescribed in the specification. A person having ordinary skill in theart will readily appreciate from the disclosure of the present inventionthat processes, machines, manufacture, compositions of matter, means,methods, or steps, presently existing or later to be developed areequivalent to, and fall within the scope of, what is claimed.Accordingly, the appended claims are intended to include within theirscope such processes, machines, manufacture, compositions of matter,means, methods, or steps.

I/We claim:
 1. A spectral deficiency-driven control system in a plantgrowth automation, said system comprising: a facilities resourcemanagement system; a processor; a memory element coupled to theprocessor; encoded instructions; wherein the system is furtherconfigured to: over a network, receive at least one of a facilitysystems data; based on the received facility systems data, control anaction via the facilities resource management system; wherein thereceived facility systems data is gathered via at least one facilitysensor configured to detect facility- incoming and, orfacility-generated light spectra and a sensor manager for determining adeficiency in light spectra; and wherein the actions controlled by thefacilities resource management system is augmenting at least one of aspectral output of at least one light-emitting diode (LED) channel fromat least one LED light source; light brightness; and, or a light heightadjustment, based on said deficiency.
 2. The system of claim 1, whereinthe facilities resource management system comprises at least one of atleast one facility sensor configured for detecting facility-incomingand, or facility-generated light spectra; at least one sensor managerfor aggregating light spectra data from the at least one of the facilitysensors; a processor for detecting a threshold-grade light spectradeviation from a reference light spectra profile; and a controller foraugmenting at least one of a spectral output of at least onelight-emitting diode (LED) channel from at least one LED light source;light brightness; real light height adjustment; and, or a virtual lightheight adjustment based on a presence and amount of the threshold-gradelight spectra deviation from the reference light spectra profile.
 3. Thesystem of claim 1, wherein the at least one facility sensor is at leastone of a spectrometer, spectral radiometer, and, or a photo sensorconfigured for detecting a facility-incoming and, or afacility-generated light spectra; operably communicative with at leastone of a sensor manager and, or a processor for detecting athreshold-grade light spectra deviation from a reference light spectraprofile; and capable of augmenting at least one of a controller-mediatedfunction based on said deviation.
 4. The system of claim 3, wherein theat least one facility sensor is disposed on at least one of an exterioror interior of a plant growth facility; top of a foliage canopy; top ofa foliage soil bed; on any one of a side of a foliage container unit; onany one of a side of a rack of foliage container units; on any surfaceof a spectrally-tuned light fixture; and, or on any fixture deliveringany one of a controller-mediated output.
 5. The system of claim 2,wherein the facilities resource management system, based on the presenceand amount of the threshold-grade light spectra deviation from thereference light spectra profile, vary a spectral output of at least oneof a plurality of light emitting diode (LED) spectral channels from atleast a single LED light source or from an array of LED light sources.6. The system of claim 2, wherein the facilities resource managementsystem, based on the presence and amount of the threshold-grade lightspectra deviation from the reference light spectra profile, activate apulley control to tensionally control the line to adjust the height ofat least one LED light sources from a top of at least one foliagecanopy.
 7. The system of claim 2, wherein the facilities resourcemanagement system, based on the presence and amount of thethreshold-grade light spectra deviation from the reference light spectraprofile, vary a light intensity from at least one LED light source to atop, side, and, or bottom of at least one foliage.
 8. The system ofclaim 2, wherein the facilities resource management system, based on thepresence and amount of the threshold-grade light spectra deviation fromthe reference light spectra profile, vary a light beam path, therebyvarying a virtual light height adjustment between at least one LED lightsource and a top of at least one foliage by modulating a degree ofmovement or activity from at least one of a pointed source or lineararray source of LED light.
 9. The system of claim 3, wherein any one ofthe controller-mediated function is operable with at least one thirdparty interface via an Application Program Interface (API) gateway. 10.The system of claim 3, wherein any one of the controller-mediatedfunction action triggers a second set of actions controlled by a “ifthis, then that” script manager.
 11. The system of claim 1, wherein thedeficiency in light spectra is determined by comparing actual lightspectra at a plant canopy-level against a reference light spectraprofile by the sensor manager.
 12. The system of claim 2, wherein thereference light spectra profile comprises light spectra data fromsensors disposed on a top and exterior of a facility, wherein incominglight is unimpeded by structural or atmospheric impediments.
 13. Thesystem of claim 12, wherein the reference light spectra profilecomprises an aggregate of light spectra data of gathered incoming lightunimpeded by structural or atmospheric impediments, over a period oftime.
 14. The system of claim 1, wherein the determined deficiency inlight spectra is by comparing an actual spectra profile against aprobabilistic-modeled reference light spectra profile to determine athreshold-grade discrepancy.
 15. A spectral deficiency-driven controlsystem in a plant growth automation, said system comprising: at leastone sensor configured to detect any number of segments of a lightspectrum of facility-incoming and, or generated light; at least onesensor manager capable of detecting a deficiency within any number ofsegments of light spectrum of the detected facility-incoming and, orgenerated light by comparing an actual light spectra profile with areference light spectra profile and determining a threshold-gradedeviation; at least one controller for actuating and, or managing atleast one of a plant growth automation system output based on saidthreshold-grade deviation; and wherein the controller is operablycoupled to the sensor manager for causing any one of, or combination of,control, synchronization, coordination, and, or calibration of plantgrowth automaton systems, thereby enabling adaptive actuation ormanagement of plant growth automation system outputs based on thedetermined threshold-grade deviation.
 16. The system of claim 15,wherein the plant growth automation system output actuated and, ormanaged by the controller is at least one of a spectral output of atleast one light-emitting diode (LED) channel from at least one LED lightsource; light brightness; and, or a light height adjustment, based onthe sensor manager- determined threshold-grade deviation.
 17. A spectraldeficiency-driven control system in a plant growth automation, saidsystem comprising: over a network, receive at least one of a facilitysystems data by the at least one sensor; based on the received facilitysystems data, determine a threshold-grade deviation between the receivedfacility systems data and an updated reference facility systems dataprofile by a sensor manager; and based on the threshold-grade deviation,enable adaptive actuation or management of any one of, or combinationof, plant growth automation system outputs by a controller.
 18. Thesystem of claim 17, wherein the facility systems data is at least one ofany number of wavelength segments of a light spectrum of incoming lightdetected by at least one light spectra sensor and, or a detecteddeficiency within any number of wavelength segments of light spectrum bycomparing an actual light spectra profile with a reference light spectraprofile and determining a threshold-grade deviation for causing anoperational state change or output.
 19. The system of claim 17, whereinthe plant growth automation system output actuated and, or managed bythe controller is at least one of a spectral output of at least onelight-emitting diode (LED) channel from at least one LED light source;light brightness; and, or a light height adjustment, based on a sensormanager- determined threshold-grade deviation.
 20. The system of claim17, wherein the sensor manager is operably coupled to a controller forcausing any one of, or combination of, control, synchronization,coordination, and, or calibration of plant growth automaton systems,thereby enabling adaptive actuation or management of plant growthautomation system outputs based on the determined threshold-gradedeviation.
 21. A spectral deficiency-driven control device in a plantgrowth automation, said device comprising: at least one integratedsensor portion; at least one integrated sensor manager; a processor; amemory element coupled to the processor; encoded instructions; whereinthe device is further configured to: receive at least one of a facilitysystems data by the at least one integrated sensor portion; based on thereceived facility systems data, the sensor manager determines athreshold-grade deviation between the received facility systems data andan updated reference facility systems data profile; and based on thethreshold-grade deviation, cause any one of, or combination of, control,synchronization, coordination, and, or calibration of any number ofplant growth automaton system outputs, thereby enabling adaptiveactuation or management of plant growth automation system outputs. 22.The device of claim 21, wherein the received facility systems data is atleast one of any number of wavelength segments of a light spectrum ofincoming light detected by at least one light spectra sensor and, or adetected deficiency within any number of wavelength segments of lightspectrum by comparing an actual light spectra profile with a referencelight spectra profile and determining a threshold-grade deviation forcausing an operational state change.
 23. The device of claim 21, whereinthe plant growth automation system outputs are at least one of varyingspectral output of at least one light emitting diode (LED) channel fromat least one LED light source, varying a light brightness, varying areal height from at least one LED light source and a top of a foliage,and, or varying a light beam path from at least one LED light source anda top of a foliage for causing a virtual foliage height adjustment. 24.The device of claim 21, wherein the facility systems data comprisesactual light spectra at a plant canopy-level and the deviation in lightspectra is determined by comparing the actual light spectra against areference light spectra profile by the sensor manager.
 25. The system ofclaim 21, wherein the reference facility systems data profile compriseslight spectra data from at least one sensor disposed on a top andexterior of a facility, wherein the incoming light sensed is unimpededby structural or atmospheric impediments.
 26. The system of claim 21,wherein the reference facility systems data profile comprises anaggregate of light spectra data of sensed incoming light unimpeded bystructural or atmospheric impediments, over a period of time.
 27. Thedevice of claim 24, wherein the actual light spectra at the plantcanopy-level is detected by integrated sensors configured for measuringlight spectra reflected from the top of the canopy.
 28. The system ofclaim 21, wherein the deviation in light spectra is by comparing anactual facility systems data against a probabilistic-modeled referencefacility systems data profile to determine a threshold-gradediscrepancy.
 29. A spectral deficiency-driven method, said methodcomprising the steps of: receiving at least one of a facility systemsdata over a network; and controlling an action via any one of, orcombination of a facilities resource management system based on thefacilities systems data, wherein the actions controlled are at least oneof varying spectral output of at least one light-emitting diode (LED)channel from at least one LED light source, light brightness, real lightheight, and, or a light-beam path for causing a virtual foliage heightadjustment.
 30. The method of claim 28, wherein the facility systemsdata are at least one of of any number of wavelength segments of a lightspectrum of incoming light detected by at least one light spectra sensorand, or a detected deficiency within any number of the wavelengthsegments of light spectrum by comparing a real-time light spectraprofile with a reference light spectra profile and determining athreshold-grade deviation for causing an operational state change of aplant growth automation.